Download UI_tester.py from Jongmo/testing: direct link, hf CLI and curl.
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- Download file 1.62 kB
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https://huggingface.co/spaces/Jongmo/testing/resolve/main/UI_tester.py
- Command line
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hf download hf://spaces/Jongmo/testing/UI_tester.py
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curl -L -o UI_tester.py https://huggingface.co/spaces/Jongmo/testing/resolve/main/UI_tester.py
1.62 kB
| import gradio as gr | |
| import Wikidata_Text_Parser as wtr | |
| import sqlite3 | |
| def process_input(qid): | |
| progress = gr.Progress(0) | |
| wtr.claimParser(qid) | |
| progress(0.20, desc="Filtering properties...") | |
| filtered_df = wtr.propertyFiltering(qid) | |
| progress(0.40, desc="Parsing URLs...") | |
| url_set = wtr.urlParser() | |
| progress(0.60, desc="Parsing HTML...") | |
| html_set = wtr.htmlParser(url_set) | |
| progress(0.80, desc="Generating claim text...") | |
| claim_text = wtr.claim2text(html_set) #Claims generation | |
| progress(1, desc="Generating claim text...") | |
| html_text = wtr.html2text(html_set) | |
| conn = sqlite3.connect('wikidata_claims_refs_parsed.db') | |
| claim_text = claim_text.astype(str) | |
| html_text = html_text.astype(str) | |
| claim_text.to_sql('claim_text', conn, if_exists='replace', index=False) | |
| html_text.to_sql('html_text', conn, if_exists='replace', index=False) | |
| conn.commit() | |
| conn.close() | |
| return f"{html_text.shape[0]} HTMl documents collection via references of {qid}" | |
| with gr.Blocks() as demo: | |
| gr.Markdown( | |
| """ | |
| # Reference Quality Verification Tool | |
| This is a tool for verifying the reference quality of Wikidata claims related to the target entity item. | |
| Parsing could take 3~5 mins depending on the number of references. | |
| """ | |
| ) | |
| inp = gr.Textbox(label="Input QID", placeholder="Input QID (i.e. Q42)") | |
| out = gr.Textbox(label="Parsing result") | |
| run_button = gr.Button("Start parsing") | |
| run_button.click(process_input, inp, out) | |
| if __name__ == "__main__": | |
| demo.launch() |